{"id":"W4386022010","doi":"10.1111/icad.12682","title":"Existing flower preference metrics disagree on best plants for pollinators: which metric to choose?","year":2023,"lang":"en","type":"article","venue":"Insect Conservation and Diversity","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatoon City Hospital; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Conservation Association","keywords":"Pollinator; Metric (unit); Preference; Abundance (ecology); Pollination; Biology; Ecology; Statistics; Mathematics; Economics; Pollen","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01560658,0.0005573786,0.001054995,0.003968866,0.0006374245,0.003088611,0.001152862,0.0007323303,0.001345578],"category_scores_gemma":[0.08005838,0.0001953188,0.0008168436,0.003622608,0.0007867669,0.002704829,0.001445036,0.001059512,0.0006506658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008578136,"about_ca_system_score_gemma":0.0006563875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695168,"about_ca_topic_score_gemma":0.003133611,"domain_scores_codex":[0.9913585,0.004502901,0.0009923,0.001040553,0.00182491,0.0002807302],"domain_scores_gemma":[0.9330838,0.04178082,0.006186127,0.006235525,0.01136252,0.001351246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001291192,0.0001288896,0.5822227,0.001916204,0.0015264,0.0001022945,0.001373992,0.009393944,0.008674487,0.006870738,0.01578372,0.3707154],"study_design_scores_gemma":[0.0001708255,0.001212188,0.801291,0.00084335,0.0005615677,0.001077762,0.005239938,0.1076233,0.01135896,0.03673334,0.033445,0.0004426592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8756287,0.006284212,0.09746817,0.001602517,0.0002979098,0.0002025449,0.005722282,0.001098612,0.01169501],"genre_scores_gemma":[0.9641805,0.0003242446,0.03285977,0.0001425749,0.00004581641,0.00007419778,0.001947253,0.0001182116,0.0003073917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01560658,"threshold_uncertainty_score":0.08253646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3242031572140225,"score_gpt":0.271429835188686,"score_spread":0.05277332202533658,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}